public class AIModel extends PlayerModel
| Constructor and Description |
|---|
AIModel(char piece,
AIPresenter presenter)
Constructor, initializes all fields
|
| Modifier and Type | Method and Description |
|---|---|
boolean |
isReady()
Getter for the ready status (depends on calculating status)
|
public AIModel(char piece, AIPresenter presenter)
piece
- AI's piece color for the sessionpresenter
- AIPresenter to aid in move calculationpublic boolean isReady()
isReady
in class PlayerModel


Copyright © 2011 Mark R. Greenstreet
Authors: Mark R. Greenstreet (mrg@cs.ubc.ca).
workers - create and manage a pool of worker processes.
Each worker process has a process state. The process state is an
association list of tuples of the form {Key, Value}
,
where Key
and Value
are arbitrary Erlang terms
When a process is created, this list is empty.
abstract datatype: worker_pool()
Abstract type for a worker pool.
abstract datatype: worker_state()
Abstract type for a worker process state.
| alive/1 | Return true if all of the processes in worker_pool() are alive. |
| broadcast/2 | Each worker process performs Task. |
| broadcast/3 | Each worker process performs Task , where Task
is called with a per-worker argument. |
| create/0 | Equivalent to create(default_n()). |
| create/1 | Spawn N worker processes. |
| default_debug_timeout/0 | The default time-out for debugging operations in the workers package. |
| default_n/0 | A default for the number of workers for a worker pool. |
| get/2 | Get that value associated with Key in process state ProcState . |
| get/3 | Get that value associated with Key in process state ProcState . |
| get_debug_timeout/1 | return the debugging time-out for receives. |
| keys/1 | return a list of all of the keys for association in S |
| nworkers/1 | Return the number of workers in W . |
| put/2 | Update state S so that each Value is
associated with its corresponding Key . |
| put/3 | Update state S to associate Value with
Key . |
| random/2 | Generate a random value. |
| random/3 | Generate a list of N random values. |
| reap/1 | Terminate the worker processes of W . |
| retrieve/2 |
Each worker evaluates Fun and the results are returned. |
| retrieve/3 | Each worker evaluates Fun. |
| retrieve/4 | Return a list of the results of evaluating What in each process of W . |
| rlist/3 | Equivalent to rlist(W, N, 1.0, Key). |
| rlist/4 | Generate a pseudo-random list distributed amongst the workers of worker pool W. |
| seq/4 | Equivalent to seq(W, Lo, Hi, 1, Key). |
| seq/5 | Like lists:seq/3 , but distributes the list over the workers of W . |
| set_debug_timeout/2 | Set the time-out for receive operations in the workers package to T. |
| update/3 |
Each worker updates the value in its state (ProcState ) associated with
Key to the result of applying Fun. |
| update/4 |
Each worker updates the value in its state (ProcState ) associated
with Key to the result of applying Fun. |
alive(W::worker_pool()) -> true | false
Return true if all of the processes in worker_pool() are alive.
broadcast(W::worker_pool(), Task) -> ok
Each worker process performs Task. If
Task
is a function with arity 1,
then it is called with the current process state.
The process state is updated to the return value of Task
.
Task
is a function with arity 2,
then the first parameter is the current process state,
and the second parameter is the index of the process.
The process state is updated to the return value of Task
.
Process indices range from 1 to
nworkers(W)
.
Task
becomes the new state
for the process.
broadcast(W::worker_pool(), Fun::Task, Args::List) -> ok
Each worker process performs Task
, where Task
is called with a per-worker argument.
If
Task
is a function with arity 2,
then it is called with the current process state and
lists:nth(N, Args)
,
where N
is the index of the process in W
.
Process indices range from 1 to
nworkers(W)
.
Task
is a function with arity 3, then the first
parameter is the current process state, the second parameter
is the index of the process, and the third parameter is
lists:nth(N, Args)
.
Task
becomes the new state
for the process.
create() -> worker_pool()
Equivalent to create(default_n()).
create(N::integer()) -> worker_pool()
Spawn N
worker processes.
default_debug_timeout() -> 5000
The default time-out for debugging operations in the workers package. Currently, this is set to 5000 (i.e. 5 seconds), but I might change it.
default_n() -> integer()
A default for the number of workers for a worker pool.
get(ProcState::worker_state(), Key::term()) -> term()
Get that value associated with Key
in process state ProcState
.
If there is a value associated with Key
in S
,
then that value is returned. Otherwise, an exception is thrown.
get(ProcState, Key, Default::DefaultFn) -> term()
Get that value associated with Key
in process state ProcState
.
Parameters:
ProcState
: The state of the worker process.
Key
: The key associated with the desired value.
DefaultFn
: If S
associates no value with
Key
then DefaultFn
is used to determine the
result of get(...)
.
Key
in S
,
then that value is returned. Otherwise, the return value is determined
by Default
:
Default
is an atom, then Default
is returned.
Default
is a function with arity 0, then
the return value is Default()
.
Default
is a function with arity 1, then
the return value is Default(S)
.
Default
is a function with arity 3, then
the return value is Default(S, Key)
.Default
does not match any of these patterns,
then an error is thrown.
get_debug_timeout(ProcState) -> integer()
return the debugging time-out for receives
keys(ProcState::worker_state()) -> [term()]
return a list of all of the keys for association in S
nworkers(W::worker_pool()) -> integer()
Return the number of workers in W
.
put(ProcState, Tail::TupleList) -> worker_state()
Update state S
so that each Value
is
associated with its corresponding Key
.
put(ProcState::worker_state(), Key::term(), Value::term()) -> worker_state()
Update state S
to associate Value
with
Key
.
random(M, ProcState0) -> {RandomValue, ProcState1}
Generate a random value. Parameters:
M
: Specifies the range for random values ad described belowS0
: The process state.RandomValue
is_integer(M)
, then RandomValue
will be an integer uniformly chosen from 1..M.
is_float(M)
, then RandomValue
will be an float uniformly chosen in [0, M].
S1
: The new process state.
random
will produce different
values.
random(N, M, ProcState0) -> {RandomList, ProcState1}
Generate a list of N random values.
RandomList
is a list of N
random numbers uniformly
chosen according to M
.
is_integer(M)
, then RandomValue
will be an integer uniformly chosen from 1..M.
is_float(M)
, then RandomValue
will be an float uniformly chosen in [0, M].
ProcState0
, and the updated state (new value for the random number
generator state) is returned in ProcState1
.
reap(W::worker_pool()) -> ok
Terminate the worker processes of W
.
retrieve(W::worker_pool(), X) -> Values
Each worker evaluates Fun
and the results are returned.
The return value of retrieve(W, Fun, Args)
is a list whose N
th element is the result of applying
Fun
in the N
th process.
If
X
is a function with arity 1,
then it is called with the current process state.
X
is a function with arity 2,
then the first parameter is the current process state,
and the second parameter is the index of the process.
X
is taken as the key for looking
up a value in the state of each worker process.
If no match is found, then the atom 'undefined'
is returned.
retrieve(W::worker_pool(), Fun, Args::X) -> [Value]
Each worker evaluates Fun. X can be a list or a time-out specifier.
If X
is a list, then retrieve(W, Fun, X)
is equivalent to
retrieve(W, Fun, X, default_debug_timout()).
Otherwise, %% retrieve(W, Fun,X)
is equivalent to
retrieve(W, Fun, [ok, ok, ...], TimeOut}
,
where the list of ok
's has the same length as W
.
retrieve(W::worker_pool(), Fun::What, Args::List, TimeOut) -> Values::List
Return a list of the results of evaluating What
in each process of W
.
What
is a function with arity 0, then it is called with no arguments (of course).What
is a function with arity 1, then it is called with the current process
state.What
is a function with arity 2, then it is called with the current process state and
lists:nth(N, Args)
,
where N
is the index of the process in W
.What
has arity 3, then the first parameter is the current process state,
the second parameter is the index of the process, and the third parameter is
lists:nth(N, Args)
.What
is none of these, then we return the value of
workers:get(ProcState, What, undefined)
in each worker process.TimeOut
time units,
then an error tuple is placed in the list. See set_debug_timeout/2
for the allowable
values for TimeOut
.
rlist(W, N, Key) -> ok
Equivalent to rlist(W, N, 1.0, Key).
rlist(W, N, M, Key) -> ok
Generate a pseudo-random list distributed amongst the workers of worker pool W. N is the total number of elements in the list.
seq(W, Lo, Hi, Key) -> ok
Equivalent to seq(W, Lo, Hi, 1, Key).
seq(W, Lo, Hi, Stride, Key) -> ok
Like lists:seq/3
, but distributes the list over the workers of W
.
Generate a list distributed amongst the workers of
worker pool W
that has the elements
Lo
...Hi
with a stride of Stride
W
is a worker pool.Lo
, Hi
, and Stride
must
be integers with Lo =< Hi
and Stride /= 0
.
seq
is associated with the
key Key
.
W
has 4 worker processes, then
set_debug_timeout(W, T) -> ok
Set the time-out for receive operations in the workers package to T.
If T is an integer, it specifies the time-out in milliseconds.
If T is a float, it specifies the time-out in seconds.
If T is the atom 'default', the value from default_debug_timeout() is used.
If T is the atom 'infinity', then operations never time-out.
update(W::worker_pool(), Key::term(), X) -> ok
Each worker updates the value in its state (ProcState
) associated with
Key
to the result of applying Fun. If there is no entry in
the current state for Key
, then an entry is created.
If
X
is a function with arity 1, then it is called with the current process state.X
is a function with arity 2,
then it is called with the current process state and the index
of the process.
X
is a list, then
length(X)
must be the same as the number of workers in W
(i.e. nworkers(W)
).
In this case, the value for Key
in worker
N
is updated to the value of
lists:nth(N, Args)
.
update(W::worker_pool(), Key::term(), Fun, Args) -> ok
Each worker updates the value in its state (ProcState
) associated
with Key
to the result of applying Fun. If there is not entry
in the current state for Key
, then an entry is created.
If
Fun
has arity 2,
then it is called with the current process state and
lists:nth(N, Args)
,
where N
is the index of the process in W
.
Fun
has arity 3,
then the first parameter is the current process state,
the second parameter is the index of the process, N
,
and the third parameter is
lists:nth(N, Args)
.
Generated by EDoc, Jan 25 2017, 12:13:16.


Size per item (bytes)
Growth Rate (r) [ using Pt = P0ert ]
Storage cost ($/byte)
Bandwidth cost ($/byte)
Fraction of all stored items requested at peak (items/sec)
Ratio of average qps / peak qps
(for ephemeral only) Fraction of messages that are never delivered.
(for ephemeral only) Number of users to which the photo is sent.


Rapids Cemetery (marked with a star on the map) served a pioneer Rochester settlement along the Genesee River not far from today’s Erie Canal. Its unique location draws touring visitors from the bicycle and hiking trail junction in Genesee Valley Park to the east and west Riverway Trail that draws visitors towards the Rochester city center. Diverting from the Riverway Trail enables the visitor to access several interpretive neighborhood walking and cycling trails. Including these options enhances the heritage tourism opportunities unique to Rochester.


Topics from Kiva borrower stories
Mouseover to explore, click to zoom in, click the center to zoom out.


Now QuickFlick has 3 modifier key(Ctrl/Alt/Meta).
These keys can use in terminal emulator, code editor, and other apps which have any input field.
NOTE:
This app does NOT provide Cut/Copy/Paste/Redo/Undo functions.
Each Modifier keys have 3 modes.
<Ctrl:ON>abc
--> <C-a>bc
)<Ctrl:LOCK>abc
--> <C-a><C-b><C-c>
)See Keymap, and you may find that QucikFlick has two way to control modes.
If these keys turn ON, key label changes lower to upper.
(Meta: m-->M, Ctrl: c-->C, Alt: a-->A)
If LOCK mode, add underbar.
(ex. CtrlON: C, CtrlLOCK: C)


AWS::EC2::SpotFleet
The AWS::EC2::SpotFleet
resource creates a request for a collection of Spot
instances. The Spot fleet attempts to launch the number of Spot instances to meet
the target
capacity that you specified. For more information, see Spot Instances in the
Amazon EC2 User Guide for Linux Instances.
Syntax
To declare this entity in your AWS CloudFormation template, use the following syntax:
JSON
{ "Type" : "AWS::EC2::SpotFleet", "Properties" : { "SpotFleetRequestConfigData" :
SpotFleetRequestConfigData
} }
YAML
Type: AWS::EC2::SpotFleet Properties: SpotFleetRequestConfigData:
SpotFleetRequestConfigData
Properties
SpotFleetRequestConfigData
-
The configuration for a Spot fleet request.
Required: Yes
Type: Amazon EC2 SpotFleet SpotFleetRequestConfigData
Update requires: Some interruptions
Return Values
Ref
When the logical ID of this resource is provided to the Ref
intrinsic
function, Ref
returns the resource name.
For more information about using the Ref
function, see Ref.
Example
The following example creates a Spot fleet with two launch specifications. The weighted capacities are the same, so Amazon EC2 launches the same number of instances for each specification. For more information, see How Spot Fleet Works in the Amazon EC2 User Guide for Linux Instances.
JSON
"SpotFleet": { "Type": "AWS::EC2::SpotFleet", "Properties": { "SpotFleetRequestConfigData": { "IamFleetRole": { "Fn::GetAtt": [ "IAMFleetRole", "Arn"] }, "SpotPrice": "1000", "TargetCapacity": { "Ref": "TargetCapacity" }, "LaunchSpecifications": [ { "EbsOptimized": "false", "InstanceType": { "Ref": "InstanceType" }, "ImageId": { "Fn::FindInMap": [ "AWSRegionArch2AMI", { "Ref": "AWS::Region" }, { "Fn::FindInMap": [ "AWSInstanceType2Arch", { "Ref": "InstanceType" }, "Arch" ] } ]}, "SubnetId": { "Ref": "Subnet1" }, "WeightedCapacity": "8" }, { "EbsOptimized": "true", "InstanceType": { "Ref": "InstanceType" }, "ImageId": { "Fn::FindInMap": [ "AWSRegionArch2AMI", { "Ref": "AWS::Region" }, { "Fn::FindInMap": [ "AWSInstanceType2Arch", { "Ref": "InstanceType" }, "Arch" ] } ]}, "Monitoring": { "Enabled": "true" }, "SecurityGroups": [ { "GroupId": { "Fn::GetAtt": [ "SG0", "GroupId" ] } } ], "SubnetId": { "Ref": "Subnet0" }, "IamInstanceProfile": { "Arn": { "Fn::GetAtt": [ "RootInstanceProfile", "Arn" ] } }, "WeightedCapacity": "8" } ] } } }
YAML
SpotFleet: Type: AWS::EC2::SpotFleet Properties: SpotFleetRequestConfigData: IamFleetRole: !GetAtt [IAMFleetRole, Arn] SpotPrice: '1000' TargetCapacity: Ref: TargetCapacity LaunchSpecifications: - EbsOptimized: 'false' InstanceType: Ref: InstanceType ImageId: Fn::FindInMap: - AWSRegionArch2AMI - Ref: AWS::Region - Fn::FindInMap: - AWSInstanceType2Arch - Ref: InstanceType - Arch SubnetId: Ref: Subnet1 WeightedCapacity: '8' - EbsOptimized: 'true' InstanceType: Ref: InstanceType ImageId: Fn::FindInMap: - AWSRegionArch2AMI - Ref: AWS::Region - Fn::FindInMap: - AWSInstanceType2Arch - Ref: InstanceType - Arch Monitoring: Enabled: 'true' SecurityGroups: - GroupId: Fn::GetAtt: - SG0 - GroupId SubnetId: Ref: Subnet0 IamInstanceProfile: Arn: Fn::GetAtt: - RootInstanceProfile - Arn WeightedCapacity: '8'
Related Resources
To use Application Auto Scaling to scale an Amazon ECS service in response to CloudWatch alarms, use the AWS::ApplicationAutoScaling::ScalableTarget and AWS::ApplicationAutoScaling::ScalingPolicy resources.


Lesson 11
00:00:01 Review of optimizing multi-layer functions with SGD
“d(h(g(f(x)))) / dw = 0,6”
00:09:45 Review of Naive Bayes & Logistic Regression for NLP with lesson5-nlp.ipynb notebook
00:16:30 Cross-Entropy as a popular Loss Function for Classification (vs RMSE for Regression)
00:21:30 Creating more NLP features with Ngrams (bigrams, trigrams)
00:23:01 Going back to Naive Bayes and Logistic Regression,
then ‘We do something weird but actually not that weird’ with “x_nb = x.multiply®”
Note: watch the whole 15 mins segment for full understanding.
00:39:45 ‘Baselines and Bigrams: Simple, Good Sentiment and Topic Classification’ paper by Sida Wang and Christopher Manning, Stanford U.
00:43:31 Improving it with PyTorch and GPU, with Fastai Naive Bayes or ‘Fastai NBSVM++’ and “class DotProdNB(nn.Module):”
Note: this long section includes lots of mathematical demonstration and explanation.
01:17:30 Deep Learning: Structured and Time-Series data with Rossmann Kaggle competition, with the 3rd winning solution ‘Entity Embeddings of Categorical Variables’ by Guo/Berkhahn.
01:21:30 Rossmann Kaggle: data cleaning & feature engineering.
Using Pandas to join tables with ‘Left join’


IntroductionMsatfinder examines sequence files (generally, small genomes) in GenBank, FASTA, EMBL and Swissprot (though ASCII can also be read) formats, and determines the number, type and position of microsatellite repeats. The software is designed to run on unix or Linux computers. If you'd like to test it on Mac OSX, we'd like to hear your feedback. To the top. InstallationThe msatfinder script
You may make a file containing a list of all input files that you'd like msatfinder to run on, or supply their names on the command line (e.g. with a glob). If you use a list, then run msatfinder as: ./msatfinder -l name_of_list_file To run on the sample files provided you could provide their names or glob the file suffixes. For example: ./msatfinder *.gbkto search the Genbank file provided. Msatfinder can in fact be placed anywhere you like, for example in /usr/local/bin. As long as you have a configuration file in the same directory as your data then msatfinder will work. For example: cd /home/user/msat_data/bacteria /usr/local/bin/msatfinder *.gbk Msatfinder should run without any need to configure it. If you'd like to change any of the parameters, please see the configuration section, below. There are a variety of options that can be used each time msatfinder is run, and these are described in the searching for microsatellites section. DependenciesThere are two types of dependency required by msatfinder: Perl modules, and external programs. Perl modulesAll of the following must be installed for all the scripts to work properly: More information on installing Perl modules can be found at CPAN. However, many of them will be installed as standard with Perl 5.8.3 (if so, man or Perldoc should provide information). External programsThe following external applications are used by msatfinder:
We use Gentoo Linux and BioLinux as the former has packages available for all these dependencies and the latter has them already installed. Dependency search prioritiesMsatfinder looks for (external program) dependencies as follows:
This system will allow you to specify alternative versions of dependencies, which will have priority over the ones on the user's PATH, if required. This may be useful if the user has more than one version of EMBOSS and running a specific version is required. To the top. Using msatfinderOverviewMsatfinder finds was designed to find perfect repeats (e.g. A(13) would be detected, but AAAAAATAAAAAA would not) in annotated (e.g. GenBank, EMBL, Swissprot) or unannotated (Fasta,raw) format files, but is also capable of finding interrupted microsatellites. It can be used to examine both protein and nucleic acid sequences. If given an annotated file it will extract information about each microsatellite and the sequence it is found in. In addition, for nucleic acid sequences it will determine whether it is possible to create PCR primers containing each repeat region found (EMBOSS/primer3 are required for this feature to work). The various features and output files may be controlled by editing the configuration file (msatfinder.rc) - notes are provided in the file on how to edit it, and more detail is given in this manual. Input and output filesInput may be many separate sequence files, or multiple sequences in a file. To convert file formats readseq may be useful. Input filesInput file types are automatically detected - if the file format cannot be determined a warning will be given. Allowed file types are:
Input sequences may be amino acid or nucleic acid. Please note that if you use ‘ASCII’ format (i.e. raw sequence in a text file) then msatfinder will treat each new line as a new sequence, and blank lines are likely to cause it to fail. You may name your input files as you please, but naming of the sequences in input files is particularly important for the use of msatfinder. As it is possible to use a file containing many sequences as the input to msatfinder, the script uses BioPerl to extract a unique name for each sequence. This is then used to name output files, such as the microsatellite FASTA files. It's therefore possible to have (for example) an input file called “MACO.gbk”, but the FASTA files will be called such things as “NC_004117.122038.CGA.6.fasta”. In the case of FASTA files, the unique identifier extracted is the first entry following the “>”. If you have no unique identifier in your files then msatfinder will attempt to generate one, but it is best if you can supply sequence files with each sequence already labeled. Output filesWhen run, msatfinder creates some directories to store the output files — this is convenient as there are often large numbers of output files. If you install a version of msatfinder on your own computer then these directory names can be changed by editing the msatfinder.rc file. An html file (results.html) is created in the same directory in which msatfinder is run — open this in a browser to view all of msatfinder's output. Results.html contains links to the contents of the following seven subdirectories:
The following files will be found in the directory called “Repeats/”:
Column headers for “repeats” and “genomes” filesThe headers in these tables depend on the file format provided (e.g. Swissprot protein files don't have GC content). The headers are not found in the exact order shown below. These column headings are found in both the repeats and genomes files in the Repeats/ directory.
These additional column headings are found in the genomes file.
These additional column headings are found in the repeats file.
File namesSome of the output files produced by msatfinder have names such as “NC_000871.33400.AT.6.fasta”. These files are the fasta files of msat and flank sequence, primer files, mine files and feature tables. The various sections are as follows.
ConfigurationAll of the parameters that can be customised by the user are found in the msatfinder.rc file. A brief description of how to set each of these is described in the file, but here we give some supplementary information. Variables in the COMMON and FINDER sections of the configuration file control the behaviour of msatfinder. Most of the default values will be acceptable in most cases.
Setting thresholds and motif typesIt is possible to search for motif types of any length. However, configuring this may not be very intuitive. The default entries in msatfinder.rc dictate that msatfinder searches for motifs of length 1 to 6 (eg. A to ATTCCG). This, along with the thresholds for each motif length, is encoded by the line :
motif_threshold = "1,12|2,8|3,5|4,5|5,5|6,5" In this case, a motif of length 1 (eg. A) must be repeated 12 times before being reported. A motif of length 2 (eg. AC) must be repeated 8 times, &c. If the user wishes to search for longer motifs, for example motifs 20 elements in length, then they simply need to add a pipe symbol (‘|’), followed by the motif length required and the corresponding threshold, eg. 2. The line in msatfinder.rc would then read:
motif_threshold = "1,12|2,8|3,5|4,5|5,5|6,5|20,2" Likewise, if the user does not wish to search for a certain type of motif, eg. those of length 1, then they simply delete the '1,12' and the unneeded pipe symbol (pipes should not be at the beginning and end of the string). Doing so would reduce the time needed for searching. Searching for microsatellitesRunning msatfinder is described in the README and the installation section. N.B.You must have an msatfinder.rc config file present in the same directory as your data for msatfinder to run (see the configuration section. If one is not present, the program will stop and give an error message suggesting that you place a copy of msatfinder.rc in the data directory. You may still use the help option if you don't have an msatfinder.rc file present (see below). Msatfinder has a lot of output files, and users may sometimes want to back these up or suppress them. Running msatfinder with the --help or -h option will print out a list of the options available. The full list of options is:
Microsatellite searching enginesThere are three “engines” currently implemented for microsatellite searching. These all operate in slightly different ways, and if you don't find the default useful then the others may prove effective. They are as follows.
The program is reasonably fast. For example, searching a large, microsatellite-rich bacterial genome such as Xylella fastidiosa (NC_002488, 2.68 Mb) with default thresholds takes under two minutes. The exact time will vary depending on your computing power. Interrupted microsatellites“Interrupted” microsatellites include several possible features. One is that a microsatellite tract consists of two motifs of the same class (e.g. dinucleotides) adjacent to each other (example 1). Another is that a long microsatellite tract may have one or more point mutations in it, making it appear to be several shorter tracts (example 2). Sometimes this latter category may include a pseudo-frameshift (example 3), thus appearing to be two different motifs. Examples
Once microsatellites have been detected by whichever engine has been selected, the complete list of msats is scanned to determine the relative positions of each microsatellite within each genome. Microsatellites are joined together when they meet two criteria:
Each “cluster” of microsatellites thus found is combined into a single interrupted microsatellite, using the usual nomenclature. The motif type will be altered to contain all the motif types in the order they are found. So, example 1 (above) would become ac-tg.16, and example 2 would be a-a.21. In the latter case, the “-” is kept in to mark that this is an interrupted microsatellite. To the top. Help for using msatfinder on-lineThe on-line version of msatfinder is available for those who don't want to do a local install. It offers the same features as the downloadable version, but due to server limitations can only accept sequences up to 10Mb. Explanations of each of the on-line options are shown below. Motif selectionAllows a selection of the motif types, mono (e.g. (A)12)to hexa (e.g. (ATAACA)20), for which one wishes to search. By default all the types are selected, but if you are not interested in mononucleotides, for example, then switching them off will save time and result in a smaller results file to download. Threshold selectionFor each motif type, there is a minimum number of repeat units that msatfinder will look for. For example, the default setting is 12 units for mononucleotides and 5 for everything else, so that an (AT)5 (i.e. ATATATATAT) will be detected but an (AT)4 will not. You can set these as low as 3, but be prepared for a long wait and a lot of output. The default values are recommended for most files, but if you find nothing of use you may wish to lower the thresholds a little to see if any smaller microsatellites are present. The interface states that there is a minimum of three repeat units, but there are some combinations of thresholds that may cause msatfinder to fail. One example is if you have a threshold for monos that is lower than the number of boxes ticked under “choose the microsatellite motifs to search for”. The reason for this is that the software may have trouble discriminating between some types of microsatellites, for example: ccccctccccctccccctccccct ...could be (ccccct)4 but could also be 4x (c)5, as the computer sees it. To prevent this from happening, msatfinder will not run in cases where such confusion should occur. If you find that it fails when you are looking for very small microsatellites, try re-running but turning off the larger microsatellites, e.g. look for monos and dis only. Advanced optionsThe default settings are probably best, but you may like to experiment with these. These options fall into three groups. The first is the list of options for disabling various output files that msatfinder produces (all except MINE files are enabled by default, which should be suitable for most uses). The second is the flank size, which determines the length of sequence either side of the microsatellite that will be saved as a FASTA format file for blast searching, &c. We have found the default of 300 to be suitable for most purposes. The third option is the search engine to be used. It should not be necessary to change this unless you need to look for tiny microsatellites or your sequence has lots of unknown bases in it. Download optionsAfter running your analysis, you will be able to view the results on-line and/or download them as a compressed archive in tar.gz (unix) or zip formats. Select your preferred format before running the analysis. The default setting is tar.gz unless you connect with a Windows machine, in which case it will be set to zip. Find interrupted msatsIf this box is checked (it's unchecked by default) then msatfinder will process the microsatellites found to determine if any could be joined into larger microsatellites, according to certain rules. Typically, about 10% of microsatellites found could be so joined. Upload fileChoose a file from your local system to run msatfinder on. There is a 10Mb file size limit on uploads — see file formats for allowable file types.. Paste sequenceSee file formats for input file formats. There is a size limit of 10Mb on the sequence that may be pasted here. If you have larger sequences, or many of them, we recommend a local installation and are happy to offer assistance, or run your sequence for you. If you paste anything in here, it will be used instead of any uploaded file data, so make sure that this box is cleared if you'd like to upload a file. Once you've pasted your sequence, click "search" and wait for a few moments (an animated picture will be shown whilst msatfinder runs). A brief summary will be displayed and a link to the downloadable file and the viewable results will be shown. These links will become inactive after a couple of hours, so please download them immediately if you'd like to keep the results. OutputThe output will be viewable on-line for 2 hours, and can be downloaded as a tar or zip file within that time, so we recommend that you bookmark the link to your output. The various files that are included in the download directory are described below. The most important is "results.html" that includes links to all the other output files so that you may view them in a browser. Your input sequence and a configuration file will also be saved for future reference, in case of any problem with the results. The output files produced by the online version of msatfinder are identical to those produced by the local version. A detailed description of these is available in the output file section. Please note that MINE files will not be produced by default - they must be enabled under “advanced options”. What if it didn't work?Occasionally, Msatfinder will fail to run on some input files. There are various reasons that this might happen, which are described below and also mentioned in the bugs section.
If you encounter a problem that does not seem to fit into these categories, please contact us and we will endeavour to fix the problem or analyse your data for you as soon as possible. To the top. Other informationBug reporting/known bugsThough we are using this software successfully, there's a small chance of bugs turning up somewhere. Should you find any, please contact us (details below) and we will squash them. If you're using msatfinder, there are a few things that you ought to bear in mind.
We welcome suggestions for new features or other improvements. File conversion/handling methodsFor converting files one could use Seqret (from EMBOSS), or use readseq. Coding styleThe braces in this code are written thus:
This is simply because it's easier to read this way. However, if you disagree, you may wish to try this. To the top. To the main msatfinder page. |


If you're not used to {_lever levers} for modulation and pitch bend, you should know that the left lever (Lever 1) is normally assigned to modulation, and the right lever (Lever 2) is assigned to pitch bend. The fingers naturally align so that the thumb and forefinger are on either side of lever 2, while the middle finger is behind lever 1. This allows lever 2 to be both pushed and pulled, which is important for bending, while lever 1 is most easily pulled, which is all you really need for most modulation. With practice, you can learn to work the two levers independently, with only minimal finger movement, and no wrist or arm motion.
As shipped, pulling on lever 2 raises the pitch. This is nice if you usually bend upward, because it is easier to pull with your forefinger than push with your thumb. But if you prefer pushing to raise the pitch you can quickly swap the lever polarity by changing a {_global_parameter}. Make sure PROG SELECT is on, then press SET SPLIT, 12. The data readout will show the Lever 2 Polarity parameter, and the value "positive pull". Move the {_parameter_control} to change this to "positive push". Although it is less important, SET SPLIT, 11 allows Lever 1 to be inverted as well.


For Game-Specific help, look around if there's a training
center or ask on in-game channels.
TODO: Write some helpfull help text
Shortcuts
- Alt-0..9: Sight Weapon #0..9
- Ctrl-0..9: Fire Weapon #0..9
- Ctrl-K: Kick
- Ctrl-P: Punch
- Ctrl-Z: Speed 0
- Ctrl-M: Speed Flank
- Ctrl-N: Navigate
- Ctrl-T: Tactical
- Ctrl-S: Status
- Ctrl-R: Range
In HUD-Mode, Shift-Click or Middle-Click the Map to change
Heading, use Mouse wheel to change zoom, drag to look
around.
Double-click to refresh/fetch a map area from server.
Right-click for a context menu with Hex/Contact specific
options. (TODO)


You can search for projects and issues by entering:
Searching for '{{search_query}}'...
| Projects {{results.trackers_total | number}} |
|---|
| No projects found |
|
{{tracker.bounty_total | dollars}} {{tracker.name}}
{{ tracker.url }}
|
| Issues {{results.issues_total | number}} |
|---|
| No issues found |
| {{issue.bounty_total | dollars}} {{issue.title}} |


Suzuki Motor's Q2 operating profit dips 32% amid demand slump in India
Sales in India, where MSI has nearly 50 per cent market share, were down 26.5 per cent at 6.75 lakh units
by Press Trust of IndiaJapanese auto major Suzuki Motor Corporation on Tuesday reported 31.83 per cent decline in operating profit at 55.90 billion yen (around Rs 3,630 crore) in the second quarter ended September 30, mainly hit by slowdown in India.
The company, which operates in India through its subsdiary Maruti Suzuki India (MSI) , had posted operating profit of 82 billion yen (around Rs 5,330 crore) in the same period last fiscal.
Net sales in the period under review stood at 847.9 billion (around Rs 55,110 crore) yen as against 941.9 billion yen (about Rs 94,190 crore) in the year-ago period.
The decline in net sales were due to decrease in Japan production on restructuring of final inspection structure and decrease in Indian automobile sales driven by slowdown in the overall market, the company said in a presentation on its website.
"Slowdown since 2Q of FY2018, owing to production decrease in Japan, in addition to slowdown in Indian automobile (is) continuing from previous year," it added.
SMC said its global sales declined 17.2 per cent to 14.08 lakh units owing to decrease in India and Japan.
Sales in India, where MSI has nearly 50 per cent market share, were down 26.5 per cent at 6.75 lakh units.
In Japan, the drop was 4.6 per cent to 3.33 lakh units. However, in Europe the company posted a growth of 7.3 per cent at 1.49 lakh units.


Welcome to the Consumer Data Right Register GitHub
CDR Register Design Reference
CDR Register Design Staging
CDR Register Github
Consumer Data Standards


This documentation relates to Opera's now deprecated .oex Extension API framework for Opera versions <= 12.15 and also provided by our OEX2NEX shim library.
For the latest Opera Extensions API documentation for Opera versions > 12.15 please consult the latest Opera Extensions API documentation online.
The Screenshot API for Opera extensions enables a screenshot to be taken of a page within a tab. Only the visible portion of the page is included in the screenshot, excluding the browser chrome (i.e. no toolbars and scrollbars, etc.).
There is a single method available to create a screenshot — getScreenshot()
— and this method can be called from two contexts:
Because of this, possible use cases are either a toolbar button to call the method in the background script, or an in-page UI to call the method in an injected script.
The getScreenshot()
method does not return a value, but rather executes a callback function which is specified as its parameter. The callback function in turn needs its own parameter with an arbitrary name. This parameter is an ImageData
object which can be written to an HTML5 <canvas>
context using the putImageData()
method.
<!--
The configuration file ('config.xml').
-->
<?xml version='1.0' encoding='utf-8'?>
<widget xmlns="http://www.w3.org/ns/widgets">
<feature name="opera:screenshot" required="false"/>
</widget>
//
// An injected script (e.g. includes/injected.js)
//
window.addEventListener('load', function() {
// Check the Screenshot API is available
if (opera.extension.getScreenshot) {
opera.postError('Screenshot API found');
// Callback function to replace page content with the screenshot
function applyScreenshot(imageData) {
opera.postError('Appending screenshot to current page...');
// Create a blank canvas
var canvas = document.createElement('canvas');
canvas.width = imageData.width;
canvas.height = imageData.height;
// Write the screenshot image data to the canvas context
var ctx = canvas.getContext('2d');
ctx.putImageData(imageData, 0, 0);
// Replace the page's content with the canvas
var body = document.body;
body.innerHTML = '';
body.appendChild(canvas);
opera.postError('Snapshot appended to current page.');
}
// Use the API's method to execute the callback function
opera.extension.getScreenshot(applyScreenshot);
} else {
opera.postError('No Screenshot API found');
}
}, false);
Google Chrome extensions have access to a similar API which uses a method named captureVisibleTab()
. If you wish to port a Google Chrome extension to Opera, below is a function you can use to mimic the behaviour of captureVisibleTab()
.
// Note: This assumes that all optional arguments are present
function captureVisibleTab(window, options, callBack) {
if (options.format)
var type = "image/" + options.format;
else
type = "image/jpeg"; //chrome gives jpeg by default
opera.extension.getScreenshot(handleImage);
function handleImage(theImage) {
var myCanvas = document.createElement('canvas');
myCanvas.width = theImage.width;
myCanvas.height = theImage.height;
var ctx = aCanvas.getContext('2DContext');
ctx.putImageData('ImageData');
theData = aCanvas.toDataURL(type);
callBack(theData);
}
}


Polly: Examples
This example is for users of Polly. It explains how you can load Polly into
clang such that the polyhedral optimzations are available during normal
compilation. Using Polly is not more complicated than just adding a new flag
to CFLAGS.
This example presents the individual passes that are involved when optimizing
code with Polly. We show how to execute them individually and explain for each
which analysis is performed or what transformation is applied. In this example
the polyhedral transformation is user-provided to show how much performance
improvement can be expected by an optimal automatic optimizer.


@import actors._ @(presenter : String, topic: String, sessionType : Boolean)
Hi Knolder,
Thank you! for your valuable feedback
We'll let @presenter know your views on the @if(!sessionType) { Knolx Session's Topic @topic } else { Meetup Session's Topic @topic }anonymously.
Also you can change your response anytime until this feedback form is active.
Thanks,
Admin


--- layout: post status: publish published: true title: 'Pyramid Consulting: Senior HTML Developer' author: display_name: PR Team login: prteam email<EMAIL_ADDRESS>url: '' author_login: prteam author_email<EMAIL_ADDRESS>wordpress_id: 882 wordpress_url: http://gatheringtalents.com/?p=882 date: '2012-06-05 15:29:06 +0000' date_gmt: '2012-06-05 07:29:06 +0000' categories: - Developer - Jobs tags: [] comments: [] ---
Responsibilities:
• Develop web templates base on graphical web layout design, may have to follow strict requirements of W3C standard and platform & browser compatibility
• Develop mobile compatible web sites/HTML5 based mobile application
• Supervise/support other junior developers to fulfill tasks/improve their skills
Requirements:
• Nationality: Vietnamese
• Education: College or Bachelor of IT-Software or Equivalent
• Language: English (good in Reading,Writing, Listening & Speaking)
• At least 2 years experience in professional Web design fields using ((x)HTML, HTML5, CSS, CSS3, Javascript)
• Proficient with HTML/XHTML, HTML5, CSS 2.0, CSS 3.0, Javascript, jQuery, performance optimization, SEO
• Ability to work with IDEs: Macromedia Dreamweaver and Aptana is a must
• Strong experience/solid background in Javascript is required. Knowledge/experience on at least 1 Javascript framework (any, ex: ExtJS, JQuery) is a must
• Portfolio (html version) is required
• Strong background in HTML5/CSS3
• Knowledge and experience in working with mobile web/mobile templates. Experience on jQuery-Mobile / Sencha Touch/Boilerplate, Modernizr, OOCss, Css3Pie, LessCss is a good plus
• Knowledge and experience in graphic design for Web is a good plus
• Knowledge and experience in Photoshop, Illustrator is a good plus
• Familiar with European or US style (international standard), Understand some of W3C Standards or have quick learning ability
• Be independent, responsible, self-motivated, with ability to learn and achieve superior results.
• Strong teamwork and contribution spirit
• Ready to work overtime if necessary (paid overtime salary)
Location: Ho Chi Minh City
Company information:
Pyramid Consulting is an International Web Agency offering Web-based, Multimedia and Wireless/SMS development services for Europe, North America and APAC clients who are the top International Interactive Marketing Agencies or Enterprise clients, founded since 1999 in Brussels, Belgium (Europe)
Pyramid Consulting Vietnam is the offshore Development Center of Pyramid Consulting Group, started since 2001, providing Online & Mobile development outsourcing services to world-wide customers. Pyramid Consulting Vietnam is currently one of top 3 largest Web development firms in Vietnam and is the only one serving online interactive marketing & e-business industry.
With 10 years of evolution and around more than 250 members, Pyramid Consulting is partner of the top International Interactive Marketing Communication Agencies in Europe (Belgium, France, Holland, UK), North America (Canada, United States) and APAC (Singapre, Hongkong, Australia, Vietnam), such as Publicis Moderm, MRM Worldwide, BBDO proximity, Ogilvy Interactive, McCann, FullSix, YellowPepper, etc.
We offer a friendly, creative and cooperative workplace. Salary is kept competitive in the market.
Join and enrich your values at Pyramid Consulting Vietnam!


My love for science and math since an early age developed naturally into a profound appreciation of engineering. I love coding and I love crafting with code. I’ve been in this field of work for so many years now, that I can’t imagine doing anything…


set cthick thckns
Sets the line thickness for the contours given an integer in the range of 1 to 20 representing relative line thicknesses. Thickness of 6 or more will be thicker on the screen. Primarily used for controlling hardcopy output.
1
20


Calculation of information utility (i.e., Lindley information) quantities for item response models.
| Version: | 1.0 |
| Depends: | ltm |
| Enhances: | MASS |
| Published: | 2013-04-02 |
| Author: | Kristian Markon [aut, cre] |
| Maintainer: | Kristian E. Markon <kristian-markon at uiowa.edu> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | http://www.r-project.org, http://www.psychology.uiowa.edu/faculty/markon |
| NeedsCompilation: | no |
| CRAN checks: | infutil results |
| Reference manual: | infutil.pdf |
| Package source: | infutil_1.0.tar.gz |
| Windows binaries: | r-devel: infutil_1.0.zip, r-release: infutil_1.0.zip, r-oldrel: infutil_1.0.zip |
| OS X binaries: | r-release: infutil_1.0.tgz, r-oldrel: infutil_1.0.tgz |
| Old sources: | infutil archive |
Please use the canonical form https://CRAN.R-project.org/package=infutil to link to this page.


Thanks to Mozilla
for providing the html I used to create this test page.
Thanks to the
Testing Goat for a good article on checking if the page load is complete.
In order to test this....
I need to make sure the page is long enough...
to require scrolling into view.


Tab Bundle Details
You can check and modify tab bundle's item here.
Modify your url and click the button to change the tab bundle's urls.


{{userData.weight}} Pound
{{userData.age}}
{{userData.height}} Inches
Fasting
1 Hour Post Meal
2 HourPost Meal
3 HourPost Meal
dsfdsfdsfsf sfd sdfdsfsd sdfdsfsd sdfdsfds


#P reads a following object, which must be a string.
#P<<expression>> is equivalent to #.(parse-namestring '<<expression>>), except that #P is not affected by *read-eval*.
For information on how the Lisp printer prints pathnames, see Section <IP_ADDRESS> (Printing Pathnames).


uroot: Unit Root Tests for Seasonal Time Series
Seasonal unit roots and seasonal stability tests.
P-values based on response surface regressions are available for both tests.
P-values based on bootstrap are available for seasonal unit root tests.
A parallel implementation of the bootstrap method requires a CUDA capable GPU
with compute capability >= 3.0, otherwise a debugging version fully coded in R is used.
| Version: |
2.0-9 |
| Depends: |
R (≥ 3.0.0), stats |
| Published: |
2017-01-29 |
| Author: |
Javier López-de-Lacalle |
| Maintainer: |
Javier López-de-Lacalle <javlacalle at yahoo.es> |
| License: |
GPL-2 |
| URL: |
https://jalobe.com |
| NeedsCompilation: |
yes |
| SystemRequirements: |
nvcc (release >= 7.1) (NVIDIA Cuda Compiler driver) |
| Materials: |
README NEWS |
| In views: |
TimeSeries |
| CRAN checks: |
uroot results |
Downloads:
Reverse dependencies:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=uroot
to link to this page.


See also: https://github.com/hslatman/awesome-industrial-control-system-security
Industrial Exploitation Framework (ISF) - Metasploit-like exploit framework based on routersploit designed to target Industrial Control Systems (ICS), SCADA devices, PLC firmware, and more.
s7scan - Scanner for enumerating Siemens S7 PLCs on a TCP/IP or LLC network.


public abstract class Buffer extends Object
A buffer is a linear, finite sequence of elements of a specific primitive type. Aside from its content, the essential properties of a buffer are its capacity, limit, and position:
A buffer's capacity is the number of elements it contains. The capacity of a buffer is never negative and never changes.
A buffer's limit is the index of the first element that should not be read or written. A buffer's limit is never negative and is never greater than its capacity.
A buffer's position is the index of the next element to be read or written. A buffer's position is never negative and is never greater than its limit.
There is one subclass of this class for each non-boolean primitive type.
Each subclass of this class defines two categories of get and put operations:
Relative operations read or write one or more elements starting at the current position and then increment the position by the number of elements transferred. If the requested transfer exceeds the limit then a relative get operation throws a
BufferUnderflowException
and a relative put operation throws aBufferOverflowException
; in either case, no data is transferred.Absolute operations take an explicit element index and do not affect the position. Absolute get and put operations throw an
IndexOutOfBoundsException
if the index argument exceeds the limit.
Data may also, of course, be transferred in to or out of a buffer by the I/O operations of an appropriate channel, which are always relative to the current position.
A buffer's mark is the index to which its position will be reset
when the reset
method is invoked. The mark is not always
defined, but when it is defined it is never negative and is never greater
than the position. If the mark is defined then it is discarded when the
position or the limit is adjusted to a value smaller than the mark. If the
mark is not defined then invoking the reset
method causes an
InvalidMarkException
to be thrown.
The following invariant holds for the mark, position, limit, and capacity values:
0 <= mark <= position <= limit <= capacity
A newly-created buffer always has a position of zero and a mark that is undefined. The initial limit may be zero, or it may be some other value that depends upon the type of the buffer and the manner in which it is constructed. Each element of a newly-allocated buffer is initialized to zero.
In addition to methods for accessing the position, limit, and capacity values and for marking and resetting, this class also defines the following operations upon buffers:
clear()
makes a buffer ready for a new sequence of
channel-read or relative put operations: It sets the limit to the
capacity and the position to zero.
flip()
makes a buffer ready for a new sequence of
channel-write or relative get operations: It sets the limit to the
current position and then sets the position to zero.
rewind()
makes a buffer ready for re-reading the data that
it already contains: It leaves the limit unchanged and sets the position
to zero.
Every buffer is readable, but not every buffer is writable. The
mutation methods of each buffer class are specified as optional
operations that will throw a ReadOnlyBufferException
when
invoked upon a read-only buffer. A read-only buffer does not allow its
content to be changed, but its mark, position, and limit values are mutable.
Whether or not a buffer is read-only may be determined by invoking its
isReadOnly
method.
Buffers are not safe for use by multiple concurrent threads. If a buffer is to be used by more than one thread then access to the buffer should be controlled by appropriate synchronization.
Methods in this class that do not otherwise have a value to return are specified to return the buffer upon which they are invoked. This allows method invocations to be chained; for example, the sequence of statements
can be replaced by the single, more compact statementb.flip(); b.position(23); b.limit(42);
b.flip().position(23).limit(42);
| Modifier and Type | Method and Description |
|---|---|
abstract Object |
array()
Returns the array that backs this
buffer (optional operation).
|
abstract int |
arrayOffset()
Returns the offset within this buffer's backing array of the first
element of the buffer (optional operation).
|
int |
capacity()
Returns this buffer's capacity.
|
Buffer |
clear()
Clears this buffer.
|
Buffer |
flip()
Flips this buffer.
|
abstract boolean |
hasArray()
Tells whether or not this buffer is backed by an accessible
array.
|
boolean |
hasRemaining()
Tells whether there are any elements between the current position and
the limit.
|
abstract boolean |
isDirect()
Tells whether or not this buffer is
direct.
|
abstract boolean |
isReadOnly()
Tells whether or not this buffer is read-only.
|
int |
limit()
Returns this buffer's limit.
|
Buffer |
limit(int newLimit)
Sets this buffer's limit.
|
Buffer |
mark()
Sets this buffer's mark at its position.
|
int |
position()
Returns this buffer's position.
|
Buffer |
position(int newPosition)
Sets this buffer's position.
|
int |
remaining()
Returns the number of elements between the current position and the
limit.
|
Buffer |
reset()
Resets this buffer's position to the previously-marked position.
|
Buffer |
rewind()
Rewinds this buffer.
|
public final int capacity()
public final int position()
public final Buffer position(int newPosition)
newPosition
- The new position value; must be non-negative
and no larger than the current limitIllegalArgumentException
- If the preconditions on newPosition do not holdpublic final int limit()
public final Buffer limit(int newLimit)
newLimit
- The new limit value; must be non-negative
and no larger than this buffer's capacityIllegalArgumentException
- If the preconditions on newLimit do not holdpublic final Buffer mark()
public final Buffer reset()
Invoking this method neither changes nor discards the mark's value.
InvalidMarkException
- If the mark has not been setpublic final Buffer clear()
Invoke this method before using a sequence of channel-read or put operations to fill this buffer. For example:
buf.clear(); // Prepare buffer for reading in.read(buf); // Read data
This method does not actually erase the data in the buffer, but it is named as if it did because it will most often be used in situations in which that might as well be the case.
public final Buffer flip()
After a sequence of channel-read or put operations, invoke this method to prepare for a sequence of channel-write or relative get operations. For example:
buf.put(magic); // Prepend header in.read(buf); // Read data into rest of buffer buf.flip(); // Flip buffer out.write(buf); // Write header + data to channel
This method is often used in conjunction with the compact
method when transferring data from
one place to another.
public final Buffer rewind()
Invoke this method before a sequence of channel-write or get operations, assuming that the limit has already been set appropriately. For example:
out.write(buf); // Write remaining data buf.rewind(); // Rewind buffer buf.get(array); // Copy data into array
public final int remaining()
public final boolean hasRemaining()
public abstract boolean isReadOnly()
public abstract boolean hasArray()
If this method returns true then the array
and arrayOffset
methods may safely be invoked.
public abstract Object array()
This method is intended to allow array-backed buffers to be passed to native code more efficiently. Concrete subclasses provide more strongly-typed return values for this method.
Modifications to this buffer's content will cause the returned array's content to be modified, and vice versa.
Invoke the hasArray
method before invoking this
method in order to ensure that this buffer has an accessible backing
array.
ReadOnlyBufferException
- If this buffer is backed by an array but is read-onlyUnsupportedOperationException
- If this buffer is not backed by an accessible arraypublic abstract int arrayOffset()
If this buffer is backed by an array then buffer position p corresponds to array index p + arrayOffset().
Invoke the hasArray
method before invoking this
method in order to ensure that this buffer has an accessible backing
array.
ReadOnlyBufferException
- If this buffer is backed by an array but is read-onlyUnsupportedOperationException
- If this buffer is not backed by an accessible arraypublic abstract boolean isDirect()
Dracula Javadoc Sample, Made with Allan Im.


Reflections from the 7th Coding Section
The subtle science of git-ting it done
November 15, 2015
Everyone's been there. You and your friends find a magical pair of pants, on the last summer before college. That might be a book. Anyway, you all want these pants, to work them, show off how fantastic they make you look. What if the pants were a piece of code? Maybe a fashion app? You all love it, want to work, but unlike pants, you can all work on it at once! How does this magic work? Version control! It's this magical ability to have a central file, and everyone can control their own version.
What are the benefits of version control?
Well, say you're writing code for a pants design app. Becky can write the section on bedazzling and merge it with the larger files. At the same time, Paula can present her code regarding plotting pleats in pants. The real benefit is allowing everyone to create versions separately, on their own local machines, and merge them into one document.
How does git help you keep track of changes?
Now, git is your new coding best friend when it comes to version control. It keeps track of the changes you've made. If a file is changed, saved again, new folders made, it keeps track. Anytime you are in your repository [The place where you store your code], you can check your git status by typing just that. You know quickly what changes have been made.
Why use GitHub to store your code?
GitHub is really well structured to work alongside your git. It also allows for cross-Internet collaboration. As well, GitHub enables others to view your code, offer suggestions and to allow you to see others work and use them to improve or assist your own.
That's why we do this!
Dev Bootcamp is an environment where everyone wants everyone to succeed. Using version control, git and GitHub to enchance our communication and our community is just one step in creating greatness!
Thanks for reading!
Have a fantastic day!


A two-coloured flow graph over two signatures V and C with the same sorts is a single-coloured flow graph over V except that:
| R |
| R |
We can now replay the same proof of soundness and completeness as in the finite products case. In each case, the proof of the theorems is so similar to that in the finite products case that we elide it.
Let Graph(V,C) be the category of acyclic flow graphs over (V,C), viewed up to bisimulation.
Proposition (Flow graphs form a strict symmetric monoidal category).
Define Term(V,C) as the free strict symmetric monoidal category over C which has Term(V) as a sub smc with the same objects.
| f,g | ::= | f | |
| | | f ; g | ||
| | | f g | ||
| | | c |
If terms can be proved equal using the axioms for an smc with a sub smc Term(V), we shall write f = g.
Proposition (Soundness). If f = g then [[f]] [[g]].
Proposition (Expressivity). For any graph G, there is a term f such that [[f]] G.
A term is in normal form (ranged over by n) iff it is of the form:
| n | ::= | |
| | | ||
| | | ||
| | |
Proposition (Cancellation of permutations). For any:
Proposition (Cancellation of val nodes). For any:
Proposition (Cancellation of central nodes). For any:
Proposition (Completeness). If [[f]] [[g]] then f = g.
Proposition (Initiality). Graph(V,C) is the initial strict symmetric monoidal category over C with Graph(V) as a sub smc with the same objects.


I have been using the energy monitor very successfully with the http://vis.openenergymonitor.org site for over a year so I decided to upgrade a bit by running the new scripts on a local LINUX server (UBUNTU) and have a few niggling problems. A slap round the head or some help please! It all works ....mostly.... with the new scripts but...
1) The new time on the GLCD is wrong, shows correct minutes but hours are wrong i.e 0:25 minutes. The script is the new PV solar one from the github. The OLD scripts the time is correct and everything works OK.
Changing the emoncms website admin/hours in my account has no effect.
2) The new install is on a local server and located at " /var/www/emoncms", the Emon-TX script requires the base directory to be set. The local machine is browserURL is <IP_ADDRESS>/emoncms so do I use " /emoncms" or "/var/www/emoncms" ? Neither work!
" // 2) If your emoncms install is in a subdirectory add details here i.e "/emoncms3"
char base dir[] = "/var/www/emoncms"; "
3) The local help API tab in the LOCAL emoncms posts data to the input but the local server does not get it at all when posted by the emon TX module.
Do I have a permission problem with the emoncms directory? Permissions are set to "root".
What are the correct permissons?
4) The new Emonbase script that posts to the internet posts data on the http://emoncms.org/input/node website OK but will not post to the local machine with either the old or new scripts.
I want to get a self contained server running on a Pi webserver eventually.
Emoncms and local server LINUX
Submitted by Guest on Tue, 22/01/2013 - 17:10HI,
I have been using the energy monitor very successfully with the http://vis.openenergymonitor.org site for over a year so I decided to upgrade a bit by running the new scripts on a local LINUX server (UBUNTU) and have a few niggling problems. A slap round the head or some help please! It all works ....mostly.... with the new scripts but...
1) The new time on the GLCD is wrong, shows correct minutes but hours are wrong i.e 0:25 minutes. The script is the new PV solar one from the github. The OLD scripts the time is correct and everything works OK.
Changing the emoncms website admin/hours in my account has no effect.
2) The new install is on a local server and located at " /var/www/emoncms", the Emon-TX script requires the base directory to be set. The local machine is browserURL is <IP_ADDRESS>/emoncms so do I use " /emoncms" or "/var/www/emoncms" ? Neither work!
" // 2) If your emoncms install is in a subdirectory add details here i.e "/emoncms3"
char base dir[] = "/var/www/emoncms"; "
3) The local help API tab in the LOCAL emoncms posts data to the input but the local server does not get it at all when posted by the emon TX module.
Do I have a permission problem with the emoncms directory? Permissions are set to "root".
What are the correct permissons?
4) The new Emonbase script that posts to the internet posts data on the http://emoncms.org/input/node website OK but will not post to the local machine with either the old or new scripts.
I want to get a self contained server running on a Pi webserver eventually.
It still is a very useful bit of kit!
Cheers
David P


CURLOPT_CHUNK_END_FUNCTION explained
NAME
CURLOPT_CHUNK_END_FUNCTION - callback after a transfer with FTP wildcardmatch
SYNOPSIS
#include <curl/curl.h> long chunk_end_callback(void *ptr); CURLcode curl_easy_setopt(CURL *handle, CURLOPT_CHUNK_END_FUNCTION, chunk_end_callback);
DESCRIPTION
Pass a pointer to your callback function, which should match the prototype shown above.
This function gets called by libcurl as soon as a part of the stream has been transferred (or skipped).
Return CURL_CHUNK_END_FUNC_OK if everything is fine or CURL_CHUNK_END_FUNC_FAIL to tell the lib to stop if some error occurred.
DEFAULT
PROTOCOLS
EXAMPLE
static long file_is_downloaded(struct callback_data *data) { if(data->output) { fclose(data->output); data->output = 0x0; } return CURL_CHUNK_END_FUNC_OK; } int main() { /* data for callback */ struct callback_data callback_info; curl_easy_setopt(curl, CURLOPT_CHUNK_END_FUNCTION, file_is_downloaded); curl_easy_setopt(curl, CURLOPT_CHUNK_DATA, &callback_info); }
AVAILABILITY
RETURN VALUE
Returns CURLE_OK if the option is supported, and CURLE_UNKNOWN_OPTION if not.
SEE ALSO
CURLOPT_WILDCARDMATCH, CURLOPT_CHUNK_BGN_FUNCTION
This HTML page was made with roffit.


N + 1 problems had only been in theory or whiteboarding discussions, until I ran into one in the render of a page.
Here's what it looked like:
Cat Load (0.6ms) SELECT "cats".* FROM "cats" WHERE "cats"."id" IN (3, 20) ORDER BY (case when cats.ancestry is null then 0 else 1 end), cats.ancestry
Cat Load (0.3ms) SELECT "cats".* FROM "cats" WHERE "cats"."id" IN (3, 21) ORDER BY (case when cats.ancestry is null then 0 else 1 end), cats.ancestry
Cat Load (0.3ms) SELECT "cats".* FROM "cats" WHERE "cats"."id" IN (3, 22) ORDER BY (case when cats.ancestry is null then 0 else 1 end), cats.ancestry
Cat Load (0.5ms) SELECT "cats".* FROM "cats" WHERE "cats"."id" IN (3, 23) ORDER BY (case when cats.ancestry is null then 0 else 1 end), cats.ancestry
Cat Load (0.5ms) SELECT "cats".* FROM "cats" WHERE "cats"."id" IN (3, 24) ORDER BY (case when cats.ancestry is null then 0 else 1 end), cats.ancestry
Cat Load (0.4ms) SELECT "cats".* FROM "cats" WHERE "cats"."id" IN (3, 25) ORDER BY (case when cats.ancestry is null then 0 else 1 end), cats.ancestry
Cat Load (0.4ms) SELECT "cats".* FROM "cats" WHERE "cats"."id" IN (3, 26) ORDER BY (case when cats.ancestry is null then 0 else 1 end), cats.ancestry
Cat Load (0.5ms) SELECT "cats".* FROM "cats" WHERE "cats"."id" IN (3, 23) ORDER BY (case when cats.ancestry is null then 0 else 1 end), cats.ancestry
Cat Load (0.5ms) SELECT "cats".* FROM "cats" WHERE "cats"."id" IN (3, 28) ORDER BY (case when cats.ancestry is null then 0 else 1 end), cats.ancestry
Cat Load (0.4ms) SELECT "cats".* FROM "cats" WHERE "cats"."id" IN (2) ORDER BY (case when cats.ancestry is null then 0 else 1 end), cats.ancestry
Lets be honest, the table loading was infinitely more boring than cats but was also production code - so you get cats.
There was a dropdown which required the loading of the entire `Cats` table to display and another part of the page render which required the display of `Cats`. So, the table was being queried twice to be displayed twice.
No, no, no - not good.
So what's this `n + 1` problem?


--- layout: post title: falafels for the pita-less date: 2011-06-18 23:58:48.000000000 -04:00 type: post published: true status: publish categories: - sandwiches - savory tags: - falafel - sandwich - vegetarian meta: jabber_published: '1308455929' email_notification: '1308455929' _oembed_3c43f84e1da5a19e3ec6a6861f9a096b: author: login: sophie email<EMAIL_ADDRESS>display_name: Pika first_name: '' last_name: '' ---
homemade falafel balls, tzatziki sauce, tahini, tomato...all squished in a slice of whole wheat bread
traditional? no way. delicious? you bet!
(Best sandwich I ever made? Better ask this one...)


James Meyer
Software Engineer
Education
September 2018 - April 2019
Codeup
Codeup is a fully-immersive, project-based, and intensive 18 week full stack Java career accelerator that provides students with 600+ hours of expert instruction in software development.
January 2015 - June 2017
Northeast Lakeview College
Associates Degree of Science | Major: Computer Science
Technical Skills
- Languages: Java - C# -Javascript - TypeScript - Rust - C - Bash - SQL - HTML - CSS
- Frameworks: Spring Boot - DotNet - Actix - Angular - JQuery/Ajax - Thymeleaf
- Tools/Cloud: Docker - Kubernetes - Github - Apache Tomcat - MySQL - SQLite - Servlets/JSPs - Curl - JWT
- Math Knowledge: Calculus - Linear Algebra - Discrete Mathematics - Cryptography
Development Projects
Moria
In Progress
Moria is a reverse proxy JWT authentication service written in Rust that provides group based permissions on endpoints. It is extremely high performant with a very low memory footprint and exceptionally fast throughput. The objective is for the proxy to be able to protect the most highly requested websites.
Professional Experience
Cognizant
April 2019 - Present
Full Stack Java Developer
At Cognizant Digial Studios I developed internal microservice applications in Java and Javascript using the Spring Boot Framework and Angular which were deployed to Pivitol PCF and Kubernetes clusters.
Resiliency and Reliability Engineering
As an R2 engineer, I lead a team of developers to fix many performance issues in a C#/NetCore web application. Most of these fixes involved refactoring LinQ expressions for a SQL database.
Bitcoin Tech Weekly
Dec 2017 - Jan 2018
Author / Editor / Researcher
As an author and editor for the news site, BitcoinTechWeekly.com, I was tasked with writing articles and weekly briefs on cryptography, cybersecurity, and blockchains. I dramatically expanded my knowledge of mathematics by reporting on the many cryptography advancements in the Bitcoin ecosystem. I was also exposed to Git, which is how we collaborated on our work across the world.
Northeast Lakeview
June 2017 - Sep 2018
Computer Science and Mathematics Tutor
As a tutor for the Alamo colleges, I worked with students from many backgrounds on many educational paths. There, I developed the capacity to communicate complex, nuanced ideas by breaking them down into small, digestible concepts. Most importantly, I learned to listen.


|
||||||||||
| PREV PACKAGE NEXT PACKAGE | FRAMES NO FRAMES |
See:
Description
| Interface Summary | |
|---|---|
| ObservableUnit | To be able to update the weight and measurements whenever a change in the data structure happens, we use Observer Pattern to get the desired effect. |
| ObservableUnitCustom | To be able to update the weight and measurements whenever a change in the data structure happens, we use Observer Pattern to get the desired effect. |
| ObserverUnit | To be able to update the weight and measurements whenever a change in the data structure happens, we use Observer Pattern to get the desired effect. |
| ObserverUnitCustom | To be able to update the weight and measurements whenever a change in the data structure happens, we use Observer Pattern to get the desired effect. |
| WeightAndMeasurement | The intention behind this interface is to model weights and measurement not fitting into one of the other units. |
| WeightAndMeasurementCustomized | The intention behind this interface is to model weights and measurement not fitting into one of the other units. |
| Class Summary | |
|---|---|
| Currency | This is the unit of currency. |
| Custom | Customized class to represent weight and measurements. |
| Length | This is the unit of length. |
| Mass | This is the unit of mass. |
| Math | It's the unit of math. |
| Miscellaneous | Here are the units gathered, which do not fit into any other category. |
| Temperature | This is the unit of temperature. |
| Time | A class to represent units in time. |
| Unit | An unit is a standard of a weight or a measurement. |
| UnitFactory | This is a factory for all different types (strategies) of weight & measurements. |
A unit is a standardized weight or measurement that describes the generated entity more precisly. It's also possible to customize the unit with your own units entities.
|
||||||||||
| PREV PACKAGE NEXT PACKAGE | FRAMES NO FRAMES |


Selenium Java Robot
Please do not close or debug this page. It is used by the Selenium Java Robot to communicate with the browser.


In this portion of the tutorial, we'll explore the git
log and how to go back to prior versions of a project.
For this tutorial, all commands that you should type in your terminal will be prefaced with
$
.
Let's get some data to work with using the
Let's create a directory for our data and transfer it into our project If you are not in your project folder, nyc_311
cd into it.
cd /nfshome/ckent/nyc_311
where ckent
is replaced by your user name.
Then make a raw directory and copy the data.
> mkdir -v raw_data #if you already have a raw_data directory from Intro_CLI don't worry about this
> cp -v /projects/Demo/shared/AppliedDataAnalytics/notebooks/module_02-git_and_python_basics/basic_git_tutorial/data/311-service-requests.csv raw_data/
Now it is time for some analysis, which we will do in our analysis directory to keep things organized.
First we need to change into the analysis directory
cd analysis
Fire up your favorite text editor (we'll use nano
), and let's write a little program called descriptive_stats.py
to get descriptive stats on our data about 311 calls in NYC. The .py
suffix indicates that this file is a program meant to be run using Python.
$ nano descriptive_stats.py
Once we're inside the text editor, we can write the program:
from __future__ import print_function
import pandas as pd
fname_data = '../raw_data/311-service-requests.csv'
df_311_calls = pd.read_csv(fname_data)
print( df_311_calls['Complaint Type'].value_counts()[:5] )
When we write a Python program, we can run it from the command line by typing python
and then the program name (here, descriptive_stats.py
). You should get the following output:
$ python descriptive_stats.py
HEATING 14200
GENERAL CONSTRUCTION 7471
Street Light Condition 7117
DOF Literature Request 5797
PLUMBING 5373
Name: Complaint Type, dtype: int64
Great! Now we have a working program that calculates descriptive statistics. Let's commit it to the repo:
> git add descriptive_stats.py # to the staging area
> git commit -m "Checking in descriptive_stats.py, output top 5 311 complaints"
In this case, we used the -m
option to make an in-line commit message (rather than launching a text editor). This was a small commit, so it didn't require a lengthy commit message.
Say that we changed our minds, and want our program to output the top 10 311 complaints rather than the top 5. No problem! We'll just use the text editor to modify our program:
$ nano descriptive_stats.py
We should see the same thing we had before:
from __future__ import print_function
import pandas as pd
fname_data = '../raw_data/311-service-requests.csv'
df_311_calls = pd.read_csv(fname_data)
print( df_311_calls['Complaint Type'].value_counts()[:5] )
Now we just change the 5 to a 10, and we're done!
from __future__ import print_function
import pandas as pd
fname_data = '../raw_data/311-service-requests.csv'
df_311_calls = pd.read_csv(fname_data)
print( df_311_calls['Complaint Type'].value_counts()[:10] )
Let's commit that change:
$ git add descriptive_stats.py
$ git commit -m "Changed the top 5 results to the top 10 results in descriptive_stats.py"
If we look at our git
log we should now see the history of our changes:
$ git log
commit 42c35933c4d52708c2562c1c05361b152a2b9230
Author: Clark Kent<EMAIL_ADDRESS>Date: Sat Nov 12 16:55:29 2016 -0600
Changed the top 5 results to the top 10 results in descriptive_stats.py
commit ab85797b2c3d68fb0c97535080079138888b5556
Author: Clark Kent<EMAIL_ADDRESS>Date: Sat Nov 12 16:52:52 2016 -0600
Checking-in descriptive_stats.py outputs the top 5 311 complaints
commit aaf89fd77e9b43d99fe32823843a7519b2108c90
Author: Clark Kent<EMAIL_ADDRESS>Date: Sat Nov 12 13:45:11 2016 -0600
Checking in README file
* Added short description of the project
* Added python3 as a dependency
Now we can use the git diff
command to see the difference between our past two commits:
$ git diff HEAD~1
diff --git a/descriptive_stats.py b/descriptive_stats.py
index 09b7168..c38d3e3 100644
--- a/descriptive_stats.py
+++ b/descriptive_stats.py
@@ -3,4 +3,4 @@ import pandas as pd
fname_data = '../raw_data/311-service-requests.csv'
df_311_calls = pd.read_csv(fname_data)
-print( df_311_calls['Complaint Type'].value_counts()[:5] )
+print( df_311_calls['Complaint Type'].value_counts()[:10] )
HEAD
is shorthand for the latest commit in the repository. HEAD~1
is a shorthand for the latest commit, minus one. You can replace 1 with any number you like; for instance, HEAD~20
refers to 20 commits ago.
The output of git diff
is shown above. The first line looks similiar to a diff command. The second line shows the commit identifiers of the two commits being compared. The next two lines are names of the files being compared.
The really interesting part is at the bottom. The line with the -
sign is the prior commit. The line with a +
sign shows the current commit. From this we can see that we changed one line of descriptive_stats.py
, removing the number 5 and adding the number 10.
We can return to the version of a file from a previous commit using the git checkout
command:
$ git checkout HEAD~1 descriptive_stats.py
If we look at the file descriptive_stats.py
, it should have reverted back to our old version (with 5 instead of 10).
Note: If you are working in a file and make a mistake, and you want to return to the previous version of the file, you can use the command
git checkout HEAD
with the file name.
$ git checkout HEAD descriptive_stats.py
Another useful option for the git diff
command is --staged
, which allows us to examine the changes that have been made in files that are staged for commit:
$ git diff --staged
Next up, we'll go over how to host a project on GitHub.


This example shows how to access an EJB from a remote Java client program. It demonstrates the use of EJB 3.1 and JNDI in JBoss AS 7.
There are two parts to the example: a server side component and a remote client program that accesses it. Each part is in its own standalone Maven module, however the quickstart does provide a top level module to simplify the packaging of the artifacts.
The server component is comprised of a stateful and a stateless EJB. The client program looks up the stateless and stateful beans via JNDI and invokes methods on them.
All you need to build this project is Java 6.0 (Java SDK 1.6) or better, Maven 3.0 or better.
The application this project produces is designed to be run on a JBoss AS 7 or EAP 6. The following instructions target JBoss AS 7, but they also apply to JBoss EAP 6.
Start JBoss AS 7 (or EAP 6):
$JBOSS_HOME/bin/standalone.sh
To build both the server side component and a remote client program change into the examples quickstart directory and type:
mvn clean install
The server side component is packaged as a jar and needs deploying to the AS you just started:
cd server-side
mvn jboss-as:deploy
This maven goal will deploy server-side/target/jboss-as-ejb-remote-app.jar. You can check the AS console to see information messages regarding the deployment.
Note that you can also start JBoss AS 7 and deploy the project using Eclipse. See the JBoss AS 7 Getting Started Developing Applications Guide for more information.
Now start a client that will access the beans you just deployed:
cd ../client
mvn exec:exec
You should see output showing:
the client sending a method invocation to the stateless bean to add two numbers and then a second invocation to subtract two numbers.
the client sends a method invocation to the statful bean asking it to increment a counter followed by a request to get the current value of the counter. To demonstrate that the bean is stateful it performs the same two invocations a number of times proving that the bean is maintaining the state of the counter between invocations.
To undeploy the server side component from JBoss AS:
cd ../server-side
mvn jboss-as:undeploy
If you want to be able to debug into the source code or look at the Javadocs of any library in the project, you can run either of the following two commands to pull them into your local repository. The IDE should then detect them.
mvn dependency:sources
mvn dependency:resolve -Dclassifier=javadoc


Barbara
Barbara is a movie starring Nina Hoss, Ronald Zehrfeld, and Rainer Bock. A doctor working in 1980s East Germany finds herself banished to a small country hospital.


= 0 ?>tid== 0 ?>= 0 ?> sysTid=
| native | = 0 ?>+ | kernel | + / | ..
:
on a
. (0x)
= 0 ?>held by thread
"" ()
tid
on an unknown object
|
| Process Name: | |
|---|---|
| PID: | |
| Active Component: | / |
| Reason: |


Before Change
distances = [torch.sum(torch.sqrt((target_rates - avg_rates) ** 2))]
rewards = [reward]
spike_record = {layer : torch.zeros(plot_interval, n) for layer in network.layers}
print()
for i in range(i):
After Change
ax.set_aspect("auto")
ax.set_title("Difference between target and actual firing rates.")
cbar = plt.colorbar(im)
plt.tight_layout()
fig2, ax2 = plt.subplots()
line2, = ax2.semilogy(distances, label="Distance")
ax2.axhline(0, ls="--", c="r")


Zack is living in a grass hut. The hut is on a hill. There is a cliff along the back. Zack sits on the cliff. A hippo passes by. A hippo" Zack is glad. A hut that lacks hippos is a dull hut! Zack sings to the hippo. The hippo stops. She zigzags up the hill. She hums along with Zack's song. They hum and sing. Zack grins.
in-context


Page maintained by Ke-Sen Huang.
If you have additions or changes, send an e-mail.
Information here is provided with the permission of the ACM and Eurographics.
Note that when possible I link to the page containing the link to the actual PDF or PS of the preprint.
I prefer this as it gives some context to the paper and avoids possible copyright problems with direct linking.
Thus you may need to search on the page to find the actual document.
ACM Digital Library: Proceedings of the 2006 ACM SIGGRAPH/Eurographics symposium on Computer animation
Eurographics Digital Library: Proceedings of the 2006 ACM SIGGRAPH/Eurographics symposium on Computer animation
the ACM Digital Library (DOI) Link for the paper
the Eurographics Digital Library Link for the paper
the link of author version paper
the link of project page
Changelog
Session 1: Controlling Simulations
- Detail-Preserving Fluid Control
-
Nils Thürey,
Richard Keiser,
Ulrich Rüde,
Mark Pauly
- Keyframe control of complex particle systems using the adjoint method
-
Chris Wojtan,
Peter J. Mucha,
Greg Turk
- A Controllable, Fast and Stable Basis for Vortex Based Smoke Simulation
-
Alexis Angelidis,
Fabrice Neyret,
Karan Singh,
Derek Nowrouzezahrai
- Path-Based Control of Smoke Simulations
-
Yootai Kim,
Raghu Machiraju,
David S. Thompson
Session 2: Simulating Deformable Bodies
- Geometric, Variational Integrators for Computer Animation
-
Liliya Kharevych,
Weiwei Yang,
Yiying Tong,
Mathieu Desbrun,
Peter Schroeder,
Eva Kanso,
Jerrold E. Marsden
- Progressive Deforming Meshes based on Deformation Oriented Decimation and Dynamic Connectivity Updating
-
Fu-Chung Huang,
Bing-Yu Chen,
Yung-Yu Chuang
- Fast Arbitrary Splitting of Deforming Objects
-
Denis Steinemann,
Miguel A. Otaduy,
Markus Gross
- Fast Simulation of Deformable Models in Contact Using Dynamic Deformation Textures
-
Nico Galoppo,
Miguel A. Otaduy,
Paul Mecklenburg,
Markus Gross,
Ming C. Lin
- Simultaneous Coupling of Fluids and Deformable Bodies
-
Nuttapong Chentanez,
Tolga G. Goktekin,
Bryan Feldman,
James F. O'Brien
Session 3: Animating Clothes and Hair
- Oriented Strands - Dynamics of Stiff Multi-body System
-
Sunil Hadap
- Simple Linear Bending Stiffness in Particle Systems
-
Pascal Volino,
Nadia Magnenat-Thalmann
- A Consistent Bending Model for Cloth Simulation with Corotational Subdivision Finite Elements (Google PDF)
-
Bernhard Thomaszewski,
Markus Wacker,
Wolfgang Strasser
- Perceptual Evaluation of Level of Detail Clothing for Virtual Humans
-
Rachel McDonnell,
Simon Dobbyn,
Steven Collins,
Carol O'Sullivan
Session 4: Processing Shape and Motion Data
- Segment-Based Human Motion Compression
-
Guodong Liu,
Leonard McMillan
- Motion Templates for Automatic Classification and Retrieval of Motion Capture Data
-
Meinard Müller,
Tido Röder
- Learning a correlated model of identity and pose-dependent body shape variation for real-time synthesis
-
Brett Allen,
Brian Curless,
Zoran Popovic,
Aaron Hertzmann
Session 5: Modeling Natural Phenomena
- Animation of Open Water Phenomena with coupled Shallow Water and Free Surface Simulations
-
Nils Thuerey,
Ulrich Ruede,
Marc Stamminger
- Modeling Ice Dynamics As A Thin-Film Stefan Problem
-
Theodore Kim,
David Adalsteinsson,
Ming C. Lin
- Generating Surface Crack Patterns
-
Hayley N. Iben,
James F. O'Brien
- Hierarchical retargetting of 2D motion fields to the animation of 3D plant models
-
Julien Diener,
Lionel Reveret,
Eugene Fiume
Session 6: Physics-based Motion Editing
- Interactive Animation of Dynamic Manipulation
-
Yeuhi Abe,
Jovan Popovic
- Physics-Based Motion Retiming
-
James McCann,
Nancy Pollard,
Siddhartha Srinivasa
- Composition of Complex Optimal Multi-Character Motions
-
Karen Liu,
Aaron Hertzmann,
Zoran Popovic
Session 7: Animation Systems
- Re-Using Traditional Animation: Methods for Semi-Automatic Segmentation and Inbetweening
-
Christina N. de Juan,
Bobby Bodenheimer
- MotionMaster: Authoring and Choreographing Kung-fu Motions by Sketch Drawings
-
Qilei Li, Weidong Geng, Tao Yu, Xiao Jie Shen, Newman Lau, Gino Yu
- "Walk to here": A Voice-Driven Animation System
-
Zhijin Wang,
Michiel van de Panne
Session 8: Facial Animation
- eFASE: Expressive Facial Animation Synthesis and Editing with Phoneme-Isomap Controls
-
Zhigang Deng,
Ulrich Neumann
- Simulating Speech with a Physics-Based Facial Muscle Model
-
Eftychios Sifakis,
Andrew Selle,
Avram Robinson-Mosher,
Ronald Fedkiw
- Sketching Articulation and Pose for Facial Animation
-
Edwin Chang,
Odest Chadwicke Jenkins
Session 9: Motion Editing and Control
- Robust Kinematic Constraint Detection for Motion Data
-
Benoit Le Callennec,
Ronan Boulic
- Fat Graphs: Constructing an Interactive Character with Continuous Controls
-
Hyun Joon Shin,
Hyun Seok Oh
- Precomputed Search Trees: Planning for Interactive Goal-Driven Animation
-
Manfred Lau,
James Kuffner
- Automatic Splicing for Hand and Body Animations
-
Anna Majkowska,
Victor Zordan,
Petros Faloutsos
Session 10: Animating and Rendering Liquids
- Physically based Boiling Simulation
-
Viorel Mihalef,
Betul Unlusu,
Mark Sussman,
Dimitris Metaxas
- Simulation of Bubbles
-
Wen Zheng, Jun-Hai Yong,
Jean-Claude Paul
- Practical Animation of Turbulent Splashing Water
-
Janghee Kim, Deukhyun Cha, Byungjoon Chang, Bonki Koo,
Insung Ihm,
- A Texture Synthesis Method for Liquid Animations
-
Adam W. Bargteil,
Funshing Sin,
Michaels J. E.,
Tolga G. Goktekin,
James F. O'Brien
kesen.huang@gmail.com


{% extends "layouts/_block_content.html" %} {% from "components/breadcrumb/_macro.njk" import onsBreadcrumb %} {% from "components/button/_macro.njk" import onsButton %} {% set page_title = "Help with exemption completing survey" %} {% set breadcrumbsData = [ { "text": "Surveys", "url": "/surveys/todo", "id": "b-item-1" }, { "text": "Help", "url": "/surveys/help/"~short_name~"/"~business_id, "id": "b-item-2" }, { "text": "Information about this survey", "url": "/surveys/help/"~short_name~"/"~business_id~"/"~option, "id": "b-item-3" } ] %} {% block breadcrumb %} {{ onsBreadcrumb({ "ariaLabel": "Breadcrumbs", "id": "breadcrumbs", "itemsList": breadcrumbsData }) }} {% endblock breadcrumb %} {% block main %}
No. Once selected, the law obliges a business to complete the survey under the provisions of the Statistics of Trade Act 1947
{% else %}Whilst this survey is voluntary, we have selected your company through our normal selection processes. This means that any data you submit to us on this subject will allow us to produce statistics on things which may not otherwise be asked as part of mandatory surveys.
{% endif %}Read more Information for businesses


| Opcode/Instruction | Op /En | 64/32 bit Mode Support | CPUID Feature Flag | Description |
|---|---|---|---|---|
|
EVEX.NDS.LIG.66.0F38.W1 CD /r VRSQRT28SD xmm1 {k1}{z}, xmm2, xmm3/m64 {sae} |
T1S | V/V | AVX512ER | Computes approximate reciprocal square root (<2^-28 relative error) of the scalar double-precision floating-point value from xmm3/m64 and stores result in xmm1with writemask k1. Also, upper double-precision floating-point value (bits[127:64]) from xmm2 is copied to xmm1[127:64]. |
| Op/En | Operand 1 | Operand 2 | Operand 3 | Operand 4 |
| T1S | ModRM:reg (w) | EVEX.vvvv (r) | ModRM:r/m (r) | NA |
Description
Computes the reciprocal square root of the low float64 value in the second source operand (the third operand) and store the result to the destination operand (the first operand). The approximate reciprocal square root is evaluated with less than 2^-28 of maximum relative error. The result is written into the low float64 element of xmm1 according to the writemask k1. Bits 127:64 of the destination is copied from the corresponding bits of the first source operand (the second operand).
If any source element is NaN, the quietized NaN source value is returned for that element. Negative (non-zero) source numbers, as well as -∞, return the canonical NaN and set the Invalid Flag (#I).
A value of -0 must return -∞ and set the DivByZero flags (#Z). Negative numbers should return NaN and set the Invalid flag (#I). Note however that the instruction flush input denormals to zero of the same sign, so negative denormals return -∞ and set the DivByZero flag.
The first source operand is an XMM register. The second source operand is an XMM register or a 64-bit memory location. The destination operand is a XMM register.
A numerically exact implementation of VRSQRT28xx can be found at https://software.intel.com/en-us/arti-cles/reference-implementations-for-IA-approximation-instructions-vrcp14-vrsqrt14-vrcp28-vrsqrt28-vexp2.
Operation
VRSQRT28SD (EVEX encoded versions)
IF k1[0] OR *no writemask* THEN
DEST[63: 0] (cid:197) (1.0/ SQRT(SRC[63: 0]));
ELSE
IF *merging-masking*
; merging-masking
THEN *DEST[63: 0] remains unchanged*
ELSE
; zeroing-masking
DEST[63: 0] (cid:197) 0
FI;
FI;
ENDFOR;
DEST[127:64] (cid:197) SRC1[127: 64]
DEST[MAX_VL-1:128] (cid:197) 0
| Input value | Result value | Comments |
|---|---|---|
| NAN | QNAN(input) | If (SRC = SNaN) then #I |
| X = 2-2n | 2n | |
| X < 0 | QNaN_Indefinite | Including -INF |
| X = -0 or negative denormal | -INF | #Z |
| X = +0 or positive denormal | +INF | #Z |
| X = +INF | +0 |
Intel C/C++ Compiler Intrinsic Equivalent
VRSQRT28SD __m128d _mm_rsqrt28_round_sd(__m128d a, __m128b b, int sae);
VRSQRT28SD __m128d _mm_mask_rsqrt28_round_pd(__m128d s, __mmask8 m,__m128d a, __m128d b, int sae);
VRSQRT28SD __m128d _mm_maskz_rsqrt28_round_pd( __mmask8 m,__m128d a, __m128d b, int sae);
SIMD Floating-Point Exceptions
Invalid (if SNaN input), Divide-by-zero
Other Exceptions
See Exceptions Type E3.


--- layout: newsstory title: ISN'T THIS EXCITING match: Salisbury 2 Yeltz 0 ---
I think it's going to be a long season. Three games, no goals scored and another depressing defeat - 2-0 at previously pointless Salisbury .
Our excellent goal difference means we've only slipped to an impressive 18th place in the table. Hurrah!
We've got Grantham on Tuesday at The Grove and they've had an even worse start than us, losing all three of their games - surely we have to score then? Please?


Welcome to
Marketing Cloud
Data Model Builder
Data Model Builder
Create a dataset for your Learning Account.
Before getting started, make sure you:
- Have read the user guide on how to use this tool. You can find it here.
- Have created API Credentials for your Marketing Cloud Learning Cloud account.
- Read the frequently asked questions.


I’ve become obsessed with Alfred! Workflows have become incredibly important; streamlining your process makes a difference. I broke down and purchased the power pack, and I do not regret it. Ever since I downloaded and used Spectacles, I have noticed how effective tidy my workspace has become. I always thought; organized cluttered isn’t an indication of poor intelligence, but I recently experienced having an organized neat helps me not do mental sorts. To find what I need, I use an index-like database to retrieve what I need quickly. Cardinality is low.
Not really. Accessing commands, files, caching, et all is something I recommend. The difference between not using it and using it is like vanilla bash and zsh with plugins without the overhead.
I am not sponsored, I wish.
Posted on July 11, 2020


{% include "includes/account-name-number.html" %}Credit details
Levy payment for tax month May 2017.
| PAYE scheme | Levy | English % | Top up | Paid in |
|---|---|---|---|---|
| 387/A987 | £10,000.00 | 80% | £800.00 | £8,800.00 |
| 970/A311 | £10,000.00 | 75% | £750.00 | £8,250.00 |
Levy payment for tax month May 2017.
| PAYE scheme | Levy | English % | Top up | Paid in |
|---|---|---|---|---|
| 387/A987 | £10,000.00 | 80% | £800.00 | £8,800.00 |
| 970/A311 | £10,000.00 | 75% | £750.00 | £8,250.00 |


{% extends "base.html" %} {% load static %} {% block content %}
Essential Bouldering gear for Indoor and Outdoor climbing.
Climbing Shoe
Chalk Bag/Boulder Bag
Toprope/Lead climbing indoors
Climbing Harness
Belay Device Or Gregory
All indoor climbing equipment is also used outdoors, however additional gear is needed to climb safley outdoors.
Climbing Helmet
Carabiners
Climbing Rope
Cam
Nut
Daisy Chain
Crash Pad
Ascender


User IDs and passwords of an organization can be created and maintained in the platform or in an existing LDAP system of the organization.
When using an LDAP system, an organization does not need to register its users manually with the platform. The organization's administrator can import the users from the LDAP system, thus automatically registering them with the platform. The users are managed in the LDAP system. The platform continuously synchronizes its information on the users. Connection settings have to be defined in a configuration file so that the platform can connect to the LDAP system.
On the LDAP settings page, you can define and manage the LDAP settings for your organization. In doing so, you can overwrite, omit, or add parameters to the default settings defined for the platform by the operator.
In case you need to modify the LDAP settings, for example, when the connection URL has changed, you can export the current settings to a local configuration file, change the values as required, and import the settings again. Be aware that with this action you will overwrite all existing LDAP settings for your organization.
When accessing the LDAP settings page, the current LDAP settings are listed in a read-only table. You can see which values are based on default platform settings (they apply as long as you do not define organization-specific settings), as well as the currently defined key/value pairs.
To manage LDAP settings:


WarpScript is an experimental measurement API based on the Free Monad, allowing users to represent a measurement plan
as a monadic pipeline of exec and measure operations. exec is a simple wrapper around a call-by-name parameter,
useful for side effects or setup test data. measure is for measuring a call-by-name parameter.
importcom.workday.warp.junit.WarpJUnitSpecimportcom.workday.warp.monadic.WarpAlgebra._importcom.workday.warp.logger.WarpLoggingimportorg.junit.jupiter.api.TestclassWarpScriptSpecextendsWarpJUnitSpecwithWarpLogging {
@Testdef measureSpec():Unit = {
val demo:WarpScript[Int] =for {
// exec() is useful for setup test data
a <- exec(1 + 1)
// measure() accepts a name and an expression, and measures that expression
b <- measure("com.workday.warp.MeasureSpec.a", { logger.info("computing a"); a + 1 })
c <- measure("com.workday.warp.MeasureSpec.b", a + b)
} yield c
// run the script
interpretImpure(demo) should be (5)
}
}
Macros
In our own testing, we found it cumbersome to repeat variables and TestIds within a WarpScript, so we provide a macro that
will rewrite a WarpScript and automatically derive a TestId for each measured section within the script. For example,
a script such as this:
1
2
3
4
5
6
for {
a <- exec(1 + 1)
b <- measure(a + 1)
c <- measure(b + 1)
d <- measure(c + 1)
} yield d
will be macro-expanded into this (assuming it is defined within a class called com.workday.warp.MacroExampleSpec):
1
2
3
4
5
6
for {
a <- exec(1 + 1)
b <- measure("com.workday.warp.MacroExampleSpec.b", a + 1)
c <- measure("com.workday.warp.MacroExampleSpec.c", b + 1)
d <- measure("com.workday.warp.MacroExampleSpec.d", c + 1)
} yield d
Note the match between the bound variable and the TestId on each line. We found it difficult to implement a macro that appropriately
targets minor AST differences across different scala versions, so we publish macros as a separate artifact com.workday.warp:warp-core-macros_2.13 that only targets
scala 2.13.


| ||||||||||||||||||||
ConsultingDoes your company use the OpenSSL toolkit and need some help porting it to a new platform? Do you need a new feature added? Are you developing new cryptographic functionality for your product?Even if you have experienced in-house software development personnel you may find that the OpenSSL team can provide cost-effective solutions to your OpenSSL related challenges. No one knows OpenSSL like the people who write and maintain it and work with it every day. Also, the income they earn though their paid consulting work supports their unpaid work on OpenSSL, so by hiring OpenSSL team members you are not only solving your own problems but also helping to ensure the long term viability of the OpenSSL product. While our passion is open source, part of that passion is seeing our software widely used. We understand the requirements of commercial industry and will work under and respect appropriate non-disclosure agreements. OpenSSL team members have recently performed or are currently performing the following work. Those sponsors willing to be identified are shown in parentheses:
All of our commercial work is performed under formal contracts with fully specified deliverables, conventional milestones and deadlines, progress reporting, and invoicing -- no PayPal payments to some unknown pseudonym. Since we consider all sources of financial support to be OpenSSL sponsors and patrons, clients purchasing any of our commercial services will at their discretion be identified and credited in several formats such as our acknowledgments page, in the source distribution release notes, and in mailing list announcements. For further information please contact the OpenSSL Software Foundation. | ||||||||||||||||||||


WITNESS LIST Economic Development Committee (Subcommittee on Spaceport) October 24, 2000-9:30A Spaceport For: Cich, Dave (Alice & Jim Wells County Economic Development Council) Covey, E. Ray (Self and South Texas Spaceport Consortium) Esquivel, Jr., Phil (Self) Gonzales, Jim (Self and Gulf Coast Regional Spaceport Development Corporation) Shaw, Sandra (Self and Brazoria Area Chamber of Commerce) Stansel, Tom (Brazoria County Partnership) Villarreal, Tony (Pecos County) Welch, Fred (Gulf Coast Regional Spaceport Development Corporation) On: Cunningham, Walter (Texas Aerospace Commission (TAC))


Brazil's Petrobras delists shares on Argentina stock market
BRASILIA (Reuters) - Brazil’s state-run oil company Petroleo Brasileiro SA (PETR4.SA) has completed the process of delisting its shares on the Argentine stock market, it said in a securities filing on Monday.
Petrobras, as the firm is more commonly known, had originally scheduled the delisting for Nov. 4, but extended the window by one week.